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All Journal Brilliance: Research of Artificial Intelligence
Gagah Dwiki Putra Aryono
Universitas Bina Bangsa, Indonesia
Decision Sciences, Operations Research & Management Mathematics Other

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System Information Sales At The Bayeprive Boutique In Serang City Are Web-Based Using The Laravel Framework Iim Rohaimudin; Sigit Auliana; Gagah Dwiki Putra Aryono
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5872

Abstract

The development of information technology offers significant opportunities to support business efficiency, including in the retail sector, such as clothing boutiques. The Baye Prive boutique in Serang City still uses a manual system for its sales operations, which causes various obstacles such as recording errors and limited market reach. This study aims to design a web-based sales information system to simplify the transaction process, stock management, and real-time reporting. The Laravel framework was chosen because of its ability to build structured applications with a Model-View-Controller (MVC) approach. The system development method used is the Waterfall model, starting from the requirements analysis stage to the maintenance stage. The developed system provides key features such as a product catalog, shopping cart, payment, and reporting dashboard. This system is accessible to both admins and customers, supporting the digitalization of the sales process and expanding marketing reach beyond the region. The implementation of this system is expected to improve efficiency, accuracy, and customer service. The results show that the designed system successfully overcomes the weaknesses of the manual system and provides an effective digital solution for the boutique's needs.
Designing a Web-Based LMS at SMKN 4 Serang Using Express.js Dody Naufal; Sigit Auliana; Gagah Dwiki Putra Aryono
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6132

Abstract

The rapid advancement of digital technology in the education sector has transformed the learning process to become more efficient, flexible, and accessible. One of the innovations that support this transformation is the Learning Management System (LMS), which facilitates digital-based learning and improves interactions between teachers and students. However, SMKN 4 Kota Serang has not yet implemented an integrated LMS platform, resulting in limited support for Grade XII students in preparing for their final examinations. This research aims to design and implement a web-based LMS application using the Express.js framework to address these challenges and support digital learning needs. The development process follows the Waterfall methodology, which includes several sequential stages: requirement analysis, system design, implementation, testing, and maintenance. Data collection methods include observation, interviews, and literature studies to understand user needs comprehensively. The resulting system offers core features such as digital material management, assignment submission and grading, and a discussion forum to support structured communication between users. With the implementation of Express.js, the LMS application is developed to be fast, lightweight, and scalable, making it suitable for the school's environment. This system is expected to assist both teachers and students in conducting learning activities more effectively and efficiently. Overall, this research contributes to improving the quality of digital learning at SMKN 4 Kota Serang and provides a foundation for further system development in the future.
Co-Authors Dody Naufal Iim Rohaimudin Sigit Auliana